C# Class Accord.Statistics.Kernels.Sparse.SparseLaplacian

Inheritance: KernelBase, IKernel, IDistance

Mostrar archivo Open project: accord-net/framework Class Usage Examples

Public Methods

Method	Description
Distance ( double x, double y ) : double	Computes the distance in input space between two points given in feature space.
Estimate ( double inputs, int samples, DoubleRange &range ) : SparseLaplacian	Estimate appropriate values for sigma given a data set. This method uses a simple heuristic to obtain appropriate values for sigma in a radial basis function kernel. The heuristic is shown by Caputo, Sim, Furesjo and Smola, "Appearance-based object recognition using SVMs: which kernel should I use?", 2002.
Function ( double x, double y ) : double	Laplacian Kernel function.
SparseLaplacian ( ) : System	Constructs a new Laplacian Kernel
SparseLaplacian ( double sigma ) : System	Constructs a new Laplacian Kernel

Method Details

Distance() public method

Computes the distance in input space between two points given in feature space.

public Distance ( double x, double y ) : double
x	double	Vector x in feature (kernel) space.
y	double	Vector y in feature (kernel) space.
return	double

Estimate() public static method

Estimate appropriate values for sigma given a data set.

This method uses a simple heuristic to obtain appropriate values for sigma in a radial basis function kernel. The heuristic is shown by Caputo, Sim, Furesjo and Smola, "Appearance-based object recognition using SVMs: which kernel should I use?", 2002.

public static Estimate ( double inputs, int samples, DoubleRange &range ) : SparseLaplacian
inputs	double	The data set.
samples	int	The number of random samples to analyze.
range	DoubleRange	The range of suitable values for sigma.
return	SparseLaplacian

Function() public method

Laplacian Kernel function.

public Function ( double x, double y ) : double
x	double	Vector x in input space.
y	double	Vector y in input space.
return	double

SparseLaplacian() public method

Constructs a new Laplacian Kernel

public SparseLaplacian ( ) : System
return	System

SparseLaplacian() public method

Constructs a new Laplacian Kernel

public SparseLaplacian ( double sigma ) : System
sigma	double	The sigma slope value.
return	System